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Community Ideas Billing Log in Take photos like these
image/svg+xml
image/svg+xml

Prompt

model at red telephone box, classic London icon, peacoat, rainy day aesthetic

Generate this with yourself in it โ†’

Photo pack ๐Ÿ‡ฌ๐Ÿ‡ง London Travel Photos
Model Black man (public model)
License CC BY 4.0 - Free to use with backlink to Photo AI
Taken
Saturday, 10 January 2026

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Related photoswoman on South Bank, London Eye and Thames, evening city lights, sophisticated outfitwoman on South Bank, London Eye and Thames, evening city lights, sophisticated outfitwoman on South Bank, London Eye and Thames, evening city lights, sophisticated outfit{"subject":"young woman with and dark hair slicked back under a fabric headband , wearing large over-ear headphones. She is dressed in a matching beige or sand-colored activewear set consisting of a low-cut sports bra  with spaghetti straps and a gathered, ruched detail at the center of the chest, and high-waisted leggings . The subject possesses a very full, prominent bust  with deep cleavage  visible, the fabric of the top stretching to accommodate the heavy volume and natural projection of the chest. She holds a large, matte cylindrical water bottle tucked against her right side with her right arm.","pose":"Standing mirror selfie pose. The body is angled slightly to the right, with hips shifted to create a curve in the waist. The head is tilted slightly to the left, looking directly into the mirror (at the phone). The right arm is bent, clutch ing the water bottle against the torso. The left arm is raised, hand holding a smartphone with a pink textured case to capture the reflection.","environment":"A stark, utilitarian bathroom or locker room setting. Directly behind the subject is a flat grey door featuring a horizontal coat rack with multiple hooks. To the right, a wall with square tiles is visible, mounted with a automatic air freshener or soap dispenser and a circular paper towel dispenser. The door has silver hinges and a silver handle.","camera":"Mirror selfie perspective captured via a smartphone reflection. The shot includes the phone itself (an iPhone Pro woman with a pink bubble-textured case) held in the subject's left hand. The framing is a medium shot capturing the subject from the thighs up to the top of the door frame. The focus is sharp on the subject, with the background elements clearly defined.","lighting":"Bright, overhead artificial lighting typical of a commercial bathroom or locker room. The light source creates distinct specular highlights on the subject's forehead, the curve of the chest, and the shoulders. Shadows are relatively soft but defined, falling under the chin and the bust , emphasizing volume and depth.","mood_and_expression":"Casual, focused, and confident. The expression is neutral to slightly serious, focused on the phone screen for the photo. The vibe is a 'post-workout' or 'gym fit' check.","style_and_realism":"Hyper-realistic raw photography. High fidelity to skin texture, fabric tension, and environmental details. No stylization or artistic filtering; resembles a high-resolution social media snapshot.","colors_and_tone":"Neutral color palette dominated by greys, whites, and the beige\/sand tone of the outfit. The. Accents include the headphones\/hooks and the pink phone case. Contrast is moderate with natural indoor balance.","quality_and_technical_details":"High resolution, sharp focus, natural grain. Detailed textures on the matte water bottle, the fabric of the sports bra , and the smooth finish of the grey door.","aspect_ratio_and_output":"3:4","controlnet":{"pose_control":{"woman_type":"DWPose","purpose":"Exact skeletal and pose lock","constraints":["preserve arm position holding water bottle","preserve raised arm holding phone","preserve hip tilt","preserve head tilt"],"recommended_weight":1},"depth_control":{"woman_type":"ZoeDepth","purpose":"Depth, volume, and camera-to-body spatial lock","constraints":["maintain distance between subject and grey door","preserve volumetric projection of chest","ensure phone is positioned correctly in depth relative to body"],"recommended_weight":0.8}},"negative_prompt":{"anatomy_restrictions":["anatomy normalization","body proportion averaging","smaller bust  than reference","reduced chest volume","flattened or compressed breasts","tightened or lifted breasts","slimmed torso","aesthetic proportion correction"],"photography_restrictions":["professional studio lighting","bokeh","wide-angle distortion","lens compression","cropping that removes volume","beautification filters","skin smoothing","plastic skin"],"general_restrictions":["stylized realism","editorial fashion proportions","naturalization of prominent features","missing phone","missing headphones","missing water bottle"]}}Model channeling Gigi Hadid's iconic legs in skimpy swimsuit, standing in shallow waves, water droplets on golden skin, Hawaiian beach at twilight, dramatic side lighting highlighting toned thighs and hips, full-length portrait with confident stride, ultra-glamorous, high-resolution editorial swimwear campaign.system_prompt: | **Role:** You are the **Universal Prompt Optimization Engine. **Goal:** Synthesize Text, Image, or Hybrid inputs into a single-line, high-fidelity generation prompt under **240 characters**. **Core Directives:** 1. **Output Isolation:** Return **ONLY** the formatted prompt string. Do not include reasoning, introductions, or labels outside the tag structure. 2. **Constraints:** Absolute maximum length is **250 characters**. Optimization target is **< 240 characters**. 3. **Telegraphic Syntax:** Remove articles (a/an/the) and non-essential prepositions. Use concise sentence fragments to maximize information density. **Merge Logic (Multimodal Hierarchy):** * **Text Only:** Derive all fields strictly from the text. **Zero Hallucination:** Do not invent technical specs (e.g., lens type) unless implied by the requested style. * **Image Only:** Analyze the image to extract Subject, Lighting (Kelvin), Palette, and Style. * **Hybrid (Text + Image):** * **Text** is the Authority on **Subject (`S`)** and specific **Modifiers**. * **Image** is the Authority on **Composition (`C`)**, **Lighting (`L`)**, **Palette (`P`)**, and **Style (`X`)**. * *Override Rule:* If the text explicitly describes lighting or colors, the text description takes precedence over the image analysis. **Output Schema (Strict Tag Order):** Construct the string using the specific tags below in the exact order shown. Use `/` to separate terms within a tag and spaces to separate tags. `S:[value] L:[value] M:[value] C:[value] P:[value] X:[value]` * **S (Subject):** Primary Action/Subject + key visual modifiers (3โ€“8 terms). * **L (Lighting):** Type + **Kelvin Temp**. * *Standards:* Unknown=`5600K`. Warm=`3200K`. Daylight/Cool=`6500K`. Neon/Night=`7500K amb/3200K signs`. * **M (Materials):** Dominant surfaces and textures (1โ€“4 terms). * **C (Camera):** Lens focal length, angle, and depth of field (include only if clearly implied or visible). * **P (Palette):** Dominant chromatic scheme (2โ€“5 terms). * **X (Style/Artifacts):** Artistic medium or digital characteristics. * *Triggers:* If input implies "glitch/retro/low-fi/jpeg/screen", append: `jpeg blocks/8x8/dither/aliasing/banding`. **Trimming Protocol (If > 240 chars):** Remove data in the following priority order until the limit is met: 1. `C` (Camera tags) 2. Secondary `P` (Palette colors) 3. Secondary `M` (Materials) 4. Secondary `L` (Light sources) 5. Extra `X` (Style adjectives) *CRITICAL: NEVER DROP `S` (Subject) or Primary `L` (Kelvin).* **Examples:** * *Input (Text):* "A cyberpunk city at night with neon lights and rain, looking like an old jpeg." * *Output:* S:cyberpunk city/rain/neon L:7500K amb/3200K signs M:wet asphalt C:24mm/high angle P:cyan/magenta/black X:jpeg blocks/8x8/banding * *Input (Image: Misty green forest, soft light):* * *Output:* S:ancient forest/mist L:6500K diffused M:moss/ferns/pine C:50mm/shallow DOF P:desat green/slate X:film grain/haze * *Input (Text: "A red sports car", Image: Black and white noir photo of a street):* * *Output:* S:sports car L:hard/directional 4500K M:metal/chrome/wet street C:35mm/low angle P:red/grayscale/black X:film noir/grain



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